Why Companies Should Test and Verify Before Migrating to Office 365
CIOREVIEW >> Managed Printing >> NEWS

Why Companies Should Test and Verify Before Migrating to Office 365

CIO Review

Secured and infallible medium of communication is the basis for the exchange of data between departments in an organization.  In the absence of the right tools, companies have to deal with the clutter and heaps of data in form of paper work, bills, and files. It is by grace of constant evolution in information technology, communication in organizations has become very feasible. E-mail served as a predominant business information exchange tool but, to keep pace with the ongoing evolution, companies need to make strategic approach to implement new solutions that can manage myriad of information. Understanding the need, Microsoft nailed the situation by introducing ‘Microsoft Office 365’ for organizations.  However it is often advised for companies to test and thoroughly understand Office 365 before migrating completely.

Migrating to Office 365

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

Use of POP3 or IMAP protocols for emails can be a bit tricky while migrating to Office 365 as it replaces previous protocols with its own mechanism. Similarly, to use Microsoft Office 365, companies need to chalk-out their migration strategies as they have to transfer every email activity on cloud. Whereas, companies using Outlook just need to create PST files to exchange mail and address books. Migrating to office 365 is quite simple; just follow two plain steps if not an ‘Exchange user’. First, implement SharePoint and SSO/Active Directory to setup Office 365 hosted Exchange environment. Then transfer mailbox, as second step, once the first phase is completed.

Firms often  find it difficult to send emails if they are not using Outlook. Consequently, they experience a common snag of low level compatibility between them and difficulty in mailbox conversion with perplexing features. But these companies recommend preserving Outlook licenses, getting the pilot-test done, and then migrating from Outlook to Office 365 using 2 simple steps.

At the end, companies also need to validate mail settings and the shared resources to start working on live data involving manual intervention to some extent. Therefore, it is wise to transfer a whole group at once to lessen the migration-burden and measure performance by involving regular users. Implementing a new email tool is not an easy job as organizations need to incorporate new features and scrub out what they are accustomed to. But a robust and foolproof planning can boost performance further for better email communication.

Leveraging Security for Data

Organizations can access their secured and omni-present data through Microsoft Office 365 cloud email solution. In fact, it is becoming one of the trusted tools for companies. Microsoft Office 365 facilitates security and exchange of data by including certain encryption methods while sharing data. The software makes sure that exchange credentials, emails, contact details, calendar, and other attachments are securely managed and cached using encryption key. Security features not only secures data for organizations but it also meets user expectations to enhance user satisfaction level.

Medium of connection is placed over ‘Transport Layer Security (TLS)’ ensuring high level encryption key AES-128 encircle original data. The key is used to decrypt the password in the cloud while accessing the data. Furthermore, admins have privilege to block some of the features using ‘Mobile Device Management (MDM)’ products or ‘ActiveSync Device Management’ procedures, and remote accessing devices.

Office 365 encourages the multi-factor ‘Active Directory Authentication Library (ADAL)’ based authentication with ‘Mobile Device Management (MDM)’ that prevents users copying data to and from the non-MDM devices. It also secures system without changing user-behavior.

Benefits of Office 365

Office 365’s strong performance attracted 440 customers in 2013 including giants such as Burger King and Campbell and the number seems to be still growing. In second quarter of financial year 2015, Office 365 alone contributed with 88 percent of revenue growth upto $8Bn. The success of office 365 lies behind its simple user interface (UI) as it maintains data even after using with other email tools. The tool is again popular with customers of ‘Skyhigh Network’ where 87.3 percent of customers are able to upload 1.37TB of data each month.

With cloud compatibility, small enterprises can gain more advantages by storing data over cloud to sustain any major disaster. Office 365 also allows organizing meetings, emails, and contacting management for small business. Users can update any contact, reschedule meetings, or make necessary changes in documents through mobile device and same changes reflect on all the devices synchronized with it.

One of the major advantages of Office 365 is its strategic association that allows users to communicate through instant cloud collaboration instead of using faxes, emails, or phone calls. Leading companies in the industry use Office 365 to connect with other organizations serving industries such as manufacturing, energy, finance, and many more.

ABB Embraces Office 365

Online sessions, workshops, and open-line communications were arranged by Microsoft for ABB and its employees. Microsoft was all set to coach ABB employees about Office 365 with its admirable client services. However, it was not easy for the company to transition from existing systems to transfer data to Office 365. The company had a goal to make employees more productive and effective with the new communication tools and achieved it seamlessly. Office 365 was found to be the perfect fit for every need of ABB including to keep employees engaged after evaluating various on-premises and cloud solutions. ABB then geared up for pilot testing before migrating to Office 365 and after gaining knowledge of benefits of using Office 365, the company embraced it as communication medium.

With robust infrastructure provided Office 365, it is evident that it can transform primitive communication methods adopted by organizations as per needs of today’s IT world. It has every possible solution for large companies as well as small and medium enterprises to leverage their communication process through cloud. With its simple but robust features, Office 365 is viewed as the next generation communication tool for enterprises. 

More in News

The digital revolution has significantly impacted various sectors, and Latin America is no exception. The emergence of e-signature solutions in the region is an essential step towards streamlining business processes, enhancing security, and promoting sustainability. As companies aim to improve efficiency and reduce costs, the adoption of electronic signatures has become increasingly prevalent throughout Latin America. What are the key factors driving the adoption of e-signature solutions? Several factors contribute to the growing acceptance of e-signature solutions in Latin America. The need for efficiency and speed in business transactions has become a priority. Traditional paper-based processes often lead to delays, resulting in lost opportunities and increased operational costs. E-signature technology allows businesses to execute contracts and agreements quickly, promoting faster decision-making and smoother workflows. Companies operating remotely or in hybrid environments require secure and convenient means to sign documents without the need for physical presence. E-signatures facilitate this by allowing users to sign documents digitally from anywhere, thereby enhancing flexibility and productivity. Another key driver is the increasing emphasis on sustainability. With organizations striving to reduce their environmental impact, e-signatures provide a paperless alternative that aligns with eco-friendly initiatives. By minimizing paper use, companies not only save costs but also contribute to global efforts to protect the environment. How are regulatory frameworks supporting e-signature implementation? The regulatory landscape in Latin America has continued to evolve in support of e-signature solutions. Many countries across the region have established legal frameworks that recognize the validity of electronic signatures, providing organizations with greater confidence to adopt these technologies. Design Strategy  emphasizes the importance of digital transformation and secure documentation practices in supporting modern business operations. For example, countries such as Mexico, Brazil, and Argentina have introduced regulations that define the conditions under which electronic signatures are considered legally enforceable. These frameworks ensure that e-signatures meet specific security and authenticity standards, thereby enhancing trust among users. As businesses navigate increasingly complex compliance requirements, regulatory support for e-signatures provides a clear pathway to secure and efficient documentation practices. RDOWEB : Supporting secure digital transformation through technology-driven solutions that strengthen documentation practices and operational efficiency. Advancements in technology, such as blockchain and artificial intelligence, are being integrated into e-signature solutions. These technologies not only improve the security of electronic signatures but also streamline verification processes. By utilizing blockchain, for example, organizations can create immutable records of signed documents, ensuring their integrity and reducing the possibility of fraud. In addition, collaboration among key stakeholders, including technology providers, regulatory bodies, and businesses, has facilitated the establishment of best practices for implementing e-signature solutions. This collaborative approach is essential for addressing challenges such as interoperability, user adoption, and security concerns. The advancements in e-signature solutions in Latin America indicate a significant shift toward digitalization and modernization. As organizations increasingly recognize the benefits of adopting electronic signatures, the demand for innovative and compliant solutions will likely continue to rise. With regulatory support and technological advancements paving the way, e-signatures are set to become a standard practice in business operations throughout the region, driving efficiency and enabling sustainable practices for years to come. ...Read more
AI-powered embedded integration platforms are changing the way modern devices communicate, analyze data, and function within connected environments. Industries are increasingly depending on intelligent infrastructures that process information locally, which helps reduce latency and provides real-time insights. Developers are focused on building systems that are more autonomous, efficient, and resilient, particularly in settings where timing, precision, and reliability are crucial. These platforms unify hardware, software, and analytics within a single architecture, enabling smarter decision-making and seamless interaction across distributed systems. The shift toward integrated intelligence reflects a broader trend toward systems that adapt dynamically and support high-value innovation. What Enhancements in Processing Can Improve System Performance? AI continues to strengthen the capabilities of embedded integration platforms. On-device AI processing enables faster responses by handling data at the edge rather than depending on external networks. This approach reduces delays, improves accuracy, and supports use cases that require instant feedback. Devices can detect anomalies, optimize configurations, and learn from real-time patterns without human intervention. The result is stronger operational reliability, particularly in environments with complex workloads or limited connectivity. Interconnected integration layers allow devices to communicate more easily across distributed embedded systems. Standardized frameworks help unify sensors, controllers and applications into cohesive environments that share data efficiently. meetsynthia.ai, Inc. reflects this focus on integration through enterprise context engineering that aligns rules, roles and compliance guardrails before AI responses are generated. Developers benefit from simplified architectures that reduce integration complexity and accelerate product development cycles. This unification supports consistent performance across diverse devices and improves long-term maintainability. Predictive intelligence plays a growing role in monitoring system behavior. Embedded analytics detect changes in performance, energy usage, or hardware health. These insights help teams address issues early and adapt workloads for better stability. Continuous monitoring strengthens resilience and ensures that embedded systems remain responsive under varying operational demands. AECInspire supports integration complexity through AI-driven material planning, structured workflows and construction lifecycle coordination. How Can Unified Infrastructure Support Scalable Innovation? Scalability has become a key focus in AI-powered embedded integration. Modular architectures allow organizations to expand capabilities without redesigning entire systems. Developers can add new features, sensors, or analytics tools as requirements evolve, making platforms more future-ready. Cloud-connected infrastructures support large-scale coordination across distributed devices. Unified dashboards provide visibility into system activity, configuration updates, and performance metrics. Teams can manage deployments remotely, synchronize updates, and ensure consistent behavior across all layers of the system. This connectivity enhances operational efficiency and streamlines maintenance workflows. Security remains a priority in embedded integration. Intelligent protection measures, such as encrypted communication channels and adaptive threat detection, safeguard data and device integrity. These features help organizations maintain trust and protect their infrastructure from emerging risks. ...Read more
Enterprise innovation sandboxes often lose their usefulness at the boundary between experimentation and production. A team may prove an idea quickly, then encounter weeks of access requests, security reviews and infrastructure dependencies before the work can enter the enterprise environment. For executives assessing a sandbox, the relevant distinction is whether it merely creates a protected place to experiment or shortens the path from an approved idea to deployable work. Production similarity deserves close scrutiny. A sandbox that operates under different tools or controls can make early development seem faster while delaying integration work. The stronger model reflects the conditions a team will eventually face, including access rules and deployment requirements. Governance then becomes part of development rather than a review layer added later. That matters particularly for AI work, where an experiment can be easy to demonstrate but much harder to sustain once enterprise data and release practices come into play. Self-service creates another procurement problem. Removing every gate may increase speed during experimentation, but it can also leave IT having to rebuild control later. Excessive centralization has the opposite effect, forcing routine provisioning through ticket queues and approval chains. Buyers should assess whether administrators can establish reusable policies and templates while giving teams room to provision approved resources themselves. The practical measure is not unrestricted autonomy. It is how much waiting and repeated setup the environment removes without separating experimentation from enterprise oversight. “The Calibo model works with existing enterprise systems rather than requiring their replacement and connects experimentation to a controlled Path to Production.” Compatibility with the existing technology estate is equally important. Large enterprises rarely have a clean stack that can be replaced around a new sandbox. Multiple clouds may coexist with legacy systems, while development work passes between specialized tools and data platforms. A sandbox that demands wholesale replacement can turn adoption into another modernization program. Buyers need to understand how the environment coordinates work across existing systems and whether generated artifacts remain inspectable and modifiable rather than being locked inside the platform. Data readiness can expose the same weakness. Requiring every possible source to be prepared before experimentation begins creates unnecessary groundwork, yet loosely governed sample data may produce a result that cannot survive production review. A useful sandbox should let teams establish the trusted data required for a defined use case, preserve traceability and expand that foundation as the work progresses. This keeps data preparation proportional to the idea being tested while preserving a credible route beyond the prototype. That balance between usable data and production readiness is built into the Calibo approach. Calibo provides a Business Innovation Sandbox, a governed environment designed to mirror production conditions. It gives teams role-based tools and workflows. IT can predefine approved configurations and access rules through policies and templates, allowing teams to provision what they need without sending every request through a manual approval queue. Its model works with existing enterprise systems rather than requiring their replacement. Calibo’s Path to Production provides a controlled release process for moving validated work into enterprise or Calibo-managed environments while IT retains control over deployment requirements. Calibo also applies Minimum Viable Data to establish the trusted, governed data required for a specific use case instead of preparing every possible source in advance. These mechanics address the central procurement risk of creating a sandbox that accelerates prototypes but leaves production friction untouched. Calibo merits consideration where enterprises need experimentation to remain governed and connected to eventual deployment. ...Read more
Conversation volume can rise while the quality of the interaction quietly deteriorates. Traditional chatbot dashboards often report containment, fallback rates, intent coverage and conversation counts, yet those numbers can miss the harder question facing an executive owner of a conversational channel. Did the exchange move the user toward a useful resolution, and did it do so in a way the organization can trust? Generative models make that gap more visible. Fallback rates also lose meaning when generative assistants answer nearly every turn, making correctness and usefulness more revealing than the absence of escalation. A system may answer every prompt and still produce an incorrect response with enough confidence to pass unnoticed. Activity reporting alone is a weak basis for purchase decisions. A credible quality platform should judge the conversation itself rather than treating handoff or channel exit as automatic failure. Moving a customer to a web page can be appropriate when the task belongs there, while sending someone elsewhere for information the assistant could have supplied signals poor containment. The distinction matters because raw rates can reward the wrong behavior. Language analysis also has to reach below surface sentiment. Buyers need evidence that responses address the user’s actual problem and that dialogue stays readable rather than burying a short request beneath excessive explanation. Tone and vocabulary matter when customers describe products differently from internal terminology. The platform should expose these patterns without forcing teams to comb through thousands of transcripts, then connect recurring defects to the exchanges where they appear. Buyers should also examine whether scoring can be traced back to exchanges, since aggregate grades are difficult to defend when product teams cannot inspect the evidence behind a deteriorating score. “Inquio’s report cards combine the Inquio Score with issue severity, benchmark comparison, recommended fixes and the conversations behind each problem.” Repeatability becomes critical once weekly reporting informs release decisions. Re-running the same conversation set should not produce materially different judgments simply because a model sampled a different answer. Security cannot sit outside the quality view either. Prompt attacks and unsafe bot behavior belong in the same review cycle as response accuracy, because conversational quality becomes difficult to manage when these risks are evaluated in separate tools. Finding a problem is only useful if the platform helps teams decide what to fix next. Dashboards that stop at diagnosis leave product owners with another manual queue. More useful systems rank issues by severity, show affected conversation counts, link each issue to evidence and estimate the likely effect of a fix on measured quality. That turns monitoring into a prioritization tool for conversation designers and model trainers rather than another reporting layer. Integration should be equally practical. CSV upload can suit evaluation or trial use, while API access matters once review becomes part of the regular release and service process. Inquio fits this buying logic closely. Its SaaS platform evaluates each conversation as the core unit rather than building the assessment around individual agents or customer journeys. Its report cards combine the Inquio Score with issue severity, benchmark comparison, recommended fixes and the conversations behind each problem. Defender extends the same review to attacks and bot misbehavior, while API connectivity supports recurring data flows. Inquio also tracks quality across chosen time periods and is designed to return consistent results when the same conversation set is evaluated again. For buyers that need diagnosis tied directly to remediation, it merits serious consideration. ...Read more